Significance: This study determined the impact of visual disabilities caused by glaucoma on the patient's everyday life and emphasized the importance of developing strategies to improve reading ability in primary open-angle glaucoma (POAG) patients.
Purpose: The purposes of this study were to investigate the reading performances of patients affected by POAG using the Italian version of the Radner Reading Charts and to test the presence of correlation between visual field (VF) damage and reading parameters.
Methods: In this cross-sectional observational study, all patients underwent a complete ophthalmic evaluation including VF testing and evaluation of reading performance using the Radner Reading Charts. The parameters for testing reading performance were reading acuity in logRAD, reading speed in words per minute, maximum reading speed, critical print size, and reading mistakes. Primary open-angle glaucoma and healthy groups were compared using the Mann-Whitney U test. The correlation between VF and reading parameters in glaucomatous eyes was assessed using Spearman correlation analysis. Based on VF mean deviation, each POAG patient had differences in reading performance between his/her best and worst eyes when compared using the paired Wilcoxon test. Statistical significance was set at P ≤ .05.
Results: Eighty POAG patients and 60 healthy controls were enrolled. Glaucomatous subjects read slowly (166.63 ± 29.40 vs. 193.84 ± 26.20 words per minute, P < .0001) and made more mistakes than did healthy subjects. The critical print size for POAG patients was larger than the one for controls (0.52 ± 0.18 vs. 0.62 ± 0.16, P < .0001). Reading parameters showed a moderate correlation with VF mean deviation. The reading parameters were significantly impaired in the worst eye, and this result confirms the impact of VF loss on reading ability.
Conclusions: This study demonstrated that glaucomatous patients read slowly and with more errors. Reading performances showed a good correlation with VF defect.
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http://dx.doi.org/10.1097/OPX.0000000000001319 | DOI Listing |
mSphere
January 2025
Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.
Existing genetic classification systems for porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2), such as restriction fragment length polymorphisms and sub-lineages, are unreliable indicators of close genetic relatedness or lack sufficient resolution for epidemiological monitoring routinely conducted by veterinarians. Here, we outline a fine-scale classification system for PRRSV-2 genetic variants in the United States. Based on >25,000 U.
View Article and Find Full Text PDFAdv Mater
January 2025
Jiangsu Key Laboratory for Science and Applications of Molecular Ferroelectrics, Southeast University, Nanjing, 211189, P. R. China.
Utilizing the correlation among diverse physical properties to facilitate multiplexing and multistate memory is anticipated to emerge as an efficient strategy to enhance memory capacity, achieve device miniaturization, and ensure information security. As an important functional material, ferroelectrics have long been considered as a potential candidate in multistate memory devices. Furthermore, the integration of optical response offers an alternative path to realizing multiplexing features, further enhancing the versatility and efficiency of these devices.
View Article and Find Full Text PDFQ J Exp Psychol (Hove)
January 2025
Faculdade de Letras, Universidade Federal de Minas Gerais.
The link between the cognitive effort of word processing and the eye movement patterns elicited by that word is well established in psycholinguistic research using eye tracking. Yet less evidence or consensus exists regarding whether the same link exists between complexity linguistic complexity measures of a sentence or passage, and eye movements registered at the sentence or passage level. This paper focuses on "global" measures of syntactic and lexical complexity, i.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Cardiovascular Center, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA.
Aims: This study evaluates the performance of OpenAI's latest large language model (LLM), Chat Generative Pre-trained Transformer-4o, on the Adult Clinical Cardiology Self-Assessment Program (ACCSAP).
Methods And Results: Chat Generative Pre-trained Transformer-4o was tested on 639 ACCSAP questions, excluding 45 questions containing video clips, resulting in 594 questions for analysis. The questions included a mix of text-based and static image-based [electrocardiogram (ECG), angiogram, computed tomography (CT) scan, and echocardiogram] formats.
Eur Heart J Digit Health
January 2025
Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.
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